Modern neurosurgery strives to maximize tumor removal while preserving healthy tissue integrity. Accurate intraoperative differentiation between tumor and healthy tissue is crucial yet challenging. Often neurosurgeons rely on their experience and haptic feedback during palpation to distinguish between tumor and healthy tissue. A commonly used hand-held tool for tissue removal during neurosurgery is the ultrasonic aspirator, which changes its electrical properties as it interacts with tissue. The goal is to equip the ultrasonic aspirator with the ability to differentiate between different types of tissue while at the same time not interfering with the surgical workflow and providing comprehensible outcomes. To this end, a hierarchical classification approach is employed as a proof of concept, enabling precise identification of tissue stiffness during resection.
The hierarchical approach is compared with the standard flat classification, commonly used in machine learning. Within the hierarchical approach, two strategies are employed: mandatory leaf-node predictions (MLNP) and non-mandatory leaf-node predictions (NMLNP). The NMLNP allows prediction to revert to a parent node when certainty is low. Data are acquired on three artificial tissue models – differing in stiffness – with an ultrasonic aspirator in a hand-held manner. The dataset comprises 1,821 data points for training and 186 for testing after balancing.
The results indicate a slight performance advantage for the hierarchical classification MLNP approach over the flat classification approach in the absence of confidence thresholds, with weighted F2-scores of 0.781 and 0.762, respectively. However, the application of confidence thresholds results in both approaches exhibiting comparable performance, with the hierarchical NMLNP approach achieving a weighted F1-score of 0.920, thereby demonstrating superior overall performance. The effects of enforcing these thresholds and excluding data with low certainty are thoroughly investigated. This work emphasizes the feasibility of tissue differentiation using a hand-held ultrasound aspirator while resecting tissue. Moreover, it highlights the capability of hierarchical classification in advancing tissue differentiation accuracy during neurosurgical procedures, which could ultimately aid surgeons and enhance the safety of intraoperative workflows.
Tissue engineering approaches have revolutionized the treatment of neural nerve injuries caused by disruption to axonal route or tract. Neurodegenerative diseases, traumatic brain injury (TBI), spinal cord injury (SCI), and peripheral nerve injury (PNI) change the intricate architecture, resulting in growth inhibition and loss of guidance over long distances. Neural tissue engineering aims to overcome limitations of cell-based therapeutics. Efforts are being made to create an optimal scaffold using natural, synthetic, and conductive polymers that match the biological, mechanical, and electrical properties of the native neural tissue. Combining biomaterials, cells, and biochemicals promotes axonal regrowth, facilitating functional recovery from neural nerve disorders. This review focuses on the recent advancements in neural tissue engineering technologies and their applications.
Cardiovascular disorders primarily harm and shorten the lives of countless individuals worldwide. Even while surgical heart transplants and other medical procedures can help people with cardiovascular disease live longer, finding the right donor and the expense of therapy are obstacles that force patients to look for less intrusive and less expensive therapies. The use of synthetic biomaterials, such as titanium-based implants, offers an alternate path with the potential to heal and regenerate the heart. However, in most biomedical cases titanium-based implants are accompanied by surface related limitations which deter them from fulfilling their potential. Over the years, surface related shortfalls are usually addressed by fabrication of coatings exhibiting better properties using different sorts of surface modification techniques. These techniques include physical vapor depositions, plasma spraying, sol-gel and laser cladding etc. However, the exploration of employing lasers to alter the surface of cardiac based implants remains a subject that needs further research. In this work, the developments of functional coatings exhibiting good corrosion resistance and better biocompatibility are reviewed with the aim to deduce the possibility of applying such coatings on titanium based cardiovascular implants thereby alleviating burdens of this disease.
Background: Transcatheter aortic valve implantation is experiencing continued growth as an option for the treatment of aortic stenosis. With larger numbers of procedures being performed on lower risk and younger patients, there is increased scrutiny on valve durability. Leaflet stresses and potential damage have a significant role to play in this regard. Predictions of leaflet stresses have so far focused on either fluid-structure interaction simulations of blood flow through the prosthesis or, crimping simulations using a cylindrical surface. However, in reality, when a compression loading system (CLS) is used in the crimping of self-expanding valves, this could result in different stresses in the valve leaflets relative to those that might occur in crimping with a cylindrical surface.
Method: A full model of a CoreValve Evolut Pro (Medtronic, Minneapolis, MN, USA) device was developed, comprising the frame, skirt and leaflets along with a representative model for the CLS as used in clinical practice. The full device was crimped to a final diameter of 18 Fr using the CLS model and the distribution and intensity of leaflet stresses was assessed. A similar assessment of leaflet stresses was also performed for crimping using radial displacement of a cylindrical surface. Comparison of the predicted leaflet stresses between the two models was undertaken, alongside a comparison of the stresses produced when dynamically loading the leaflets after deployment of the valve.
Results: Both the CLS and cylinder crimping methods produced higher average and peak stresses on the leaflets compared to those produced during leaflet loading. The peak von Mises stresses for CLS crimping, cylinder crimping, and leaflet loading were 3.42 MPa, 3.92 MPa, and 1.77 MPa respectively. The leaflet folding pattern between the CLS crimping and cylinder crimping methods were different, resulting in different high stress locations on the leaflets. However, the average stress magnitude at the final crimped stage between the two crimping methods were similar.
Conclusions: High fidelity simulations of crimping and expansion of a complete CoreValve Evolut Pro model using a compression loading system model have been performed, wherein the results showed that peak leaflet stresses in the crimped valve were approximately twice as high as the maximum leaflet stresses under dynamic loading. This finding has significant implications for device durability due to the high stresses and possible damage they might inflict on the leaflets. It was also found that crimping using a compression loading system versus a simpler cylindrical surface produced different folding patterns and stress distributions. However, for future studies that are not concerned with accurately capturing the leaflet folding patterns and stresses throughout the crimping process, crimping via a cylindrical surface can be used inst
Microneedle (MN) patches are composed of micron-sized needles organised in arrays and attached to the backing of a patch. The most common type is the transdermal patch, designed to uniformly penetrate the stratum corneum to reach the dermis of the skin. Recent advances in 3D printing technology have allowed the development of reproducible, efficient methods to create microneedles on a large scale, which had previously been a factor in the limited clinical uptake. In comparison to conventional drug delivery methods, MN patches have been shown to significantly reduce pain and scar generation while maintaining effective and reliable delivery of vaccines, immunotherapies, and slow-release drug therapies. The MN design has also been investigated as an alternative to conventional tissue biopsy, with positive results. Synchronous delivery of medications while monitoring biomarkers in dermal interstitial fluid (ISF) is also a promising clinical development with wide-reaching benefits. MNs are diverse in design and material composition, and with developments in fabrication technology, transdermal drug delivery has been applied to many clinical fields, including chronic illnesses such as arthritis or diabetes, cancer, immunotherapies, epidemic disease prevention and ocular treatments. While the majority of MN patch applications are still in the pre-clinical testing phase in animal models, further translation of this technology to the clinic could aid in medication and vaccine compliance, improve treatment access in rural and remote communities, improve targeted therapy applications and provide financial cost savings to the public health sector. This review evaluates the designs and applications of current transdermal MN patches for drug delivery, biomarker monitoring and diagnostic biopsies compared to conventional needle-based methods.
Movement research has typically been performed using three-dimensional (3D) marker-based motion capture, which is considered the “gold-standard” for biomechanical assessment. However, limitations exist due to the lack of portability, extensive preparation for data collection, marker placement training, error due to marker movement, and possible skin irritation due to marker adhesives. There is inherent error due to motion artifact stemming from skin movement and differences in marker placement between testers. Markerless motion capture systems are emerging as a new method of kinematic assessment. These methods require little preparation and there is no need to alter participant clothing. Markerless motion capture has also been validated for the lower extremity in healthy older adults during gait. However, it has not been validated for other populations or for the assessment of upper extremity (UE) motion. Therefore, the purpose of this study was to examine differences in calculated UE kinematics between marker-based and a markerless motion capture system. Participants attended two data collection sessions. Marker-based and markerless motion capture data was collected simultaneously while participants completed the Box and Blocks test (BBT). Kinematic and spatiotemporal data from both systems was exported using identical time series to ensure the same conditions for comparisons. Intraclass Correlation Coefficients (ICCs) were calculated to determine between session reliability for both systems on range of motion and peak joint angular data to ensure movement variability was not affecting measurement consistency. ICCs and Bland Altman statistics were also calculated between the systems. Root mean square deviation (RMSD) values were determined between demeaned UE joint angles for the two systems to examine movement pattern differences. The resulting between-session ICCs for each system showed that the markerless system shared similar reliability during this task as the marker-based system, further supporting the effect of variability on between-session reliability. Between-system ICCs resulted in good (0.7<ICC<0.9) to excellent (ICC>0.9) agreement. Bland Altman results confirmed the existence of measurement bias between the systems. RMSD values for all UE joint angles were found to be less than 6°. Overall, the results from this study support the use of markerless motion capture in clinical settings to examine upper extremity biomechanics in children.
In practical applications, protein fouling studies often face limitations due to their reliance on single-protein feed experiments. It is crucial to acknowledge that interprotein interactions can significantly differ from intraprotein interactions, leading to variations in adsorption and membrane fouling behaviors. In this review, we delve into the dynamics of adsorption and membrane fouling, with a specific focus on single and binary solutions of Bovine Serum Albumin (BSA) and Lysozyme (LYZ) at or near physiological pH. These two proteins differ in terms of size, charge, and conformational stability, allowing for comparisons between small and large proteins, positively and negatively charged proteins, as well as rigid and flexible proteins. To gain further insights, we compare the findings from LYZ in single and binary solutions with those of alpha lactalbumin (α-LA), which, despite having opposite charges, shares a similar size with LYZ. The formation of BSA-LYZ heteroprotein complexes may introduce unique fouling trends in binary solutions compared to single solutions. This interplay can either enhance, reduce, or leave fouling unaffected. While studies employing the Extended DLVO (Derjaguin, Landau, Vervey, and Overbeek) theory to predict fouling in protein mixtures are limited, preliminary investigations using DLVO show promise. This approach has the potential to extend to binary and multi-protein feeds, providing valuable insights into the dynamics of fouling behavior in complex protein solutions. Considering that BSA is often used as a surrogate for Human Serum Albumin (HSA), the findings of this endeavor hold particular significance. HSA ranks the most abundant plasma proteins and, therefore, represents a crucial subject in numerous protein-related studies.